Prithvi

Prithvi_P_Rao_EE22B024_DC_Task1.ipynb

@@ -0,0 +1 @@
+{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyMLcDPdQneH3rGT8VWeHfqj"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","source":["import numpy as np"],"metadata":{"id":"Mu7TyocHoThD"},"execution_count":null,"outputs":[]},{"cell_type":"code","execution_count":57,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"r_f4JOmhj2Ko","executionInfo":{"status":"ok","timestamp":1672636376615,"user_tz":-330,"elapsed":6,"user":{"displayName":"Prithvi Rao","userId":"12291986275579615423"}},"outputId":"8dffed0f-a77e-4e24-9502-0f3a362e7b0f"},"outputs":[{"output_type":"stream","name":"stdout","text":["-0.27291027324515854\n"]}],"source":["# Task A\n","y  , yCap = np.random.randint(0,2,100) , np.random.rand(100) # Initialising the 2 arrays\n","res = y*np.log2(yCap) - (1-y)*(np.log2(1-yCap)) # computing value of each term of the expression\n","print(-np.average(res)) # printing out the Cross-Entropy loss value"]},{"cell_type":"code","source":["# Task B\n","class SumSearch():\n","  solutions = {}\n","  solCount = 0\n","  def __init__(self,numbers,target):\n","    self.numbers = numbers\n","    self.target = target\n","  def Compute(self):\n","    for i in range(len(numbers)): # parsing through each element in the given array\n","      for j in range(i,len(numbers)): # parsing through the elements which are not behind numbers[i]\n","        if (numbers[i]+numbers[j] == target): # checking the condition\n","          self.solCount += 1\n","          self.solutions[self.solCount] = [i,j] #appending the pair of indices to the list of solutions\n","          if(i != j): #checking if the indices are not equal\n","            self.solCount += 1\n","            self.solutions[self.solCount] = [j,i] # adding the reversed pair of indices to the solution \n","    print(self.solutions)\n","\n","numbers = [10,20,10,40,50,60,70]\n","target = 50\n","C1 = SumSearch(numbers,target) # creatitng the class\n","C1.Compute() # calling the function"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"b_gStVYdoyeV","executionInfo":{"status":"ok","timestamp":1672633055474,"user_tz":-330,"elapsed":5,"user":{"displayName":"Prithvi Rao","userId":"12291986275579615423"}},"outputId":"d9bdaa35-86a2-40f0-fd0b-c81f9b19b9a3"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["{1: [0, 3], 2: [3, 0], 3: [2, 3], 4: [3, 2]}\n"]}]}]}